• DocumentCode
    3448391
  • Title

    Evaluation Model Based on Analytic Hierarchy Process and Applications in Indoor Air Quality Monitoring System

  • Author

    Hong Shao ; Lizhi Yang ; Yangyang Han

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
  • fYear
    2013
  • fDate
    1-3 Nov. 2013
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    Analytic Hierarchy Process (AHP), which was originally introduced by Professor T. L. Satty, is an effective method to make a quantitative analysis for the non-quantitative analytical case. In recent years, two evaluation models based on AHP have been proposed for indoor air quality (IAQ) by the environmental experts from home and abroad. One is Indoor Assessment by the Analytical Hierarchy (IAAH), and the other is Fuzzy AHP, which is combined fuzzy computing and AHP. In this paper, the two models are constructed and respectively applied in the IAQ evaluation. Here an experiment is designed to compare them from the applicable condition in the IAQ monitoring system. The results show that IAAH is suitable for the monitoring system which makes an environmental assessment at a long interval, e.g. 1 hour and 8 hours. On the contrary, Fuzzy AHP is more suitable for that which makes an environmental assessment at a short interval, e.g. 5 minutes and 10 minutes.
  • Keywords
    air quality; analytic hierarchy process; computerised monitoring; environmental science computing; fuzzy reasoning; indoor environment; IAAH; IAQ evaluation; analytic hierarchy process; environmental assessment; evaluation model; fuzzy AHP; fuzzy computing; indoor air quality monitoring system; indoor assessment by the analytical hierarchy; Analytical models; Atmospheric modeling; Computational modeling; Educational institutions; Monitoring; Pollution; Standards; Analytic hierarchy process; Data acquisition system; Evaluation model; Fuzzy computing; Indoor air quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems (ICINIS), 2013 6th International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4799-2808-8
  • Type

    conf

  • DOI
    10.1109/ICINIS.2013.9
  • Filename
    6754658